swiss-army-kube | Swiss Army Kube is an open-source IaC | Infrastructure Automation library

 by   provectus Python Version: v0.1.1 License: Apache-2.0

kandi X-RAY | swiss-army-kube Summary

kandi X-RAY | swiss-army-kube Summary

swiss-army-kube is a Python library typically used in Devops, Infrastructure Automation, Ansible, Terraform applications. swiss-army-kube has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However swiss-army-kube build file is not available. You can download it from GitHub.

Swiss Army Kube (SAK) is an open-source IaC (Infrastructure as Code) collection of services for quick, easy, and controllable deployment of EKS Kubernetes clusters on Amazon for your projects. With Swiss Army Kube, cluster configuration and provisioning takes just a fraction of time normally spent on manual deployment via AWS management console. SAK automates deployments, making them repeatable, consistent, and less error-prone. Swiss Army Kube uses Terraform to describe the desired state of your infrastructure (resources that need to be provisioned like IAM roles, ASG, Route 53, subnets, etc.) and build a Kubernetes cluster on AWS EC2 instances. SAK provides example directories that you can use as easily modifiable templates to set up your cluster deployment configuration in minutes. All you need is to edit a couple of files to include modules and set variables. This way you can quickly configure and provision multiple dedicated EKS Kubernetes clusters with different configurations of modules, variables, networks, and Kubernetes versions. We believe that any developer or organization should be able to focus on their applications without having to worry too much about the nitty-gritty of infrastructure deployment. Currently, Swiss Army Kube is available for the Amazon EKS (Elastic Kubernetes Service) for Kubernetes cluster only. We plan to expand to other platforms soon.
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            kandi-support Support

              swiss-army-kube has a low active ecosystem.
              It has 119 star(s) with 33 fork(s). There are 72 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 24 open issues and 36 have been closed. On average issues are closed in 114 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of swiss-army-kube is v0.1.1

            kandi-Quality Quality

              swiss-army-kube has 0 bugs and 0 code smells.

            kandi-Security Security

              swiss-army-kube has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              swiss-army-kube code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              swiss-army-kube is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              swiss-army-kube releases are available to install and integrate.
              swiss-army-kube has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 16109 lines of code, 1 functions and 127 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed swiss-army-kube and discovered the below as its top functions. This is intended to give you an instant insight into swiss-army-kube implemented functionality, and help decide if they suit your requirements.
            • Check if variables are used
            • Return a dictionary of variables
            • Check a variable
            Get all kandi verified functions for this library.

            swiss-army-kube Key Features

            No Key Features are available at this moment for swiss-army-kube.

            swiss-army-kube Examples and Code Snippets

            No Code Snippets are available at this moment for swiss-army-kube.

            Community Discussions

            QUESTION

            Create CloudFormation Yaml from existing RDS DB instance (Aurora PostgreSQL)
            Asked 2020-Jun-05 at 00:59

            I have an RDS DB instance (Aurora PostgreSQL) setup in my AWS account. This was created manually using AWS Console. I now want to create CloudFormation template Yaml for that DB, which I can use to create the DB later if needed. That will also help me replicate the DB in another environment. I would also use that as part of my Infrastructure automation.

            ...

            ANSWER

            Answered 2020-Jun-05 at 00:59

            Unfortunately, there is no such functionality provided by AWS.

            However, you mean hear about two options that people could wrongfully recommend.

            CloudFormer

            CloudFormer is a template creation beta tool that creates an AWS CloudFormation template from existing AWS resources in your account. You select any supported AWS resources that are running in your account, and CloudFormer creates a template in an Amazon S3 bucket.

            Although it sounds good, the tool is no longer maintained and its not reliable (for years in beta).

            Importing Existing Resources Into a Stack

            Often people mistakenly think that this "generates yaml" for you from existing resources. The truth is that it does not generate template files for you. You have to write your own template which matches your resource exactly, before you can import any resource under control to CloudFormation stack.

            Your only options is to manually write the template for the RDS and import it, or look for an external tools that could reverse-engineer yaml templates from existing resources.

            Source https://stackoverflow.com/questions/62206364

            QUESTION

            Azure DevOps CI with Web Apps for Containers
            Asked 2020-Mar-16 at 08:59

            I'm struggling to set up a CI process for a web application in Azure. I'm used to deploying built code directly into Web Apps in Azure but decided to use docker this time.

            In the build pipeline, I build the docker images and push them to an Azure Container Registry, tagged with the latest build number. In the release pipeline (which has DEV, TEST and PROD), I need to deploy those images to the Web Apps of each environment. There are 2 relevant tasks available in Azure releases: "Azure App Service deploy" and "Azure Web App for Containers". Neither of these allow the image source for the Web App to be set to Azure Conntainer Registry. Instead they take custom registry/repository names and set the image source in the Web App to Private Registry, which then requires login and password. I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App) are integrated already. Ideally, I would be able to set the Web App to use the repository and tag in Azure Container Registry that I specify in the release. I even tried to manually configure the Web Apps first with specific repositories and tags, and then tried to change the tags used by the Web Apps with the release (with the tasks I mentioned) but it didn't work. The tags stay the same.

            Another option I considered was to configure all Web Apps to specific and permanent repositories and tags (e.g. "dev-latest") from the start (which doesn't fit well with ARM deployments since the containers need to exist in the Registry before the Web Apps can be configured so my infrastructure automation is incomplete), enable "Continuous Deployment" in the Web Apps and then tag the latest pushed repositories accordingly in the release so they would be picked up by Web Apps. I could not find a reasoble way to add tags to existing repositories in the Registry.

            What is Azure best practice for CI with containerised web apps? How do people actually build their containers and then deploy them to each environment?

            ...

            ANSWER

            Answered 2020-Mar-16 at 08:59

            Just set up a CI pipeline for building an image and pushing it to a container registry.

            You could then use both Azure App Service deploy and Azure Web App for Containers task to handle the deploy.

            The Azure WebApp Container task similar to other built-in Azure tasks, requires an Azure service connection as an input. The Azure service connection stores the credentials to connect from Azure Pipelines or Azure DevOps Server to Azure.

            I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App)

            You could also be able to Deploy Azure Web App for Containers with ARM and Azure DevOps.

            How do people actually build their containers and then deploy them to each environment?

            Kindly take a look at below blogs and official doc which may be helpful:

            Source https://stackoverflow.com/questions/60693622

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install swiss-army-kube

            Visit our Quickstart to install and configure prerequisites, set up your project deployment with desired modules and configurations in *.tf files, and deploy your infrastructure with Terraform commands:. After deployment, manage your cluster with Terraform and Kubernetes CLI commands or AWS management console.

            Support

            Contributing to Swiss Army Kube is very welcome. Currently, we're looking for contributions to the documentation of Modules. All you need is being comfortable with GitHub and Git. To get involved with documentation, please read our Contributing Guide.
            Find more information at:

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